1 / 9

The ADM-Aeolus mission

Representing the ADM-Aeolus Mission Advisory Group, and the L2B/L2C development Team. The ADM-Aeolus mission. Geneva, 19-21 May 2008. ADM-Aeolus: Wind profile measurements from space. UV lidar (355 nm) with two receivers - Mie (aerosol), Rayleigh (molecules)

dacey
Download Presentation

The ADM-Aeolus mission

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Representing the ADM-Aeolus Mission Advisory Group, and the L2B/L2C development Team The ADM-Aeolus mission Geneva, 19-21 May 2008

  2. ADM-Aeolus: Wind profile measurements from space UV lidar (355 nm) with two receivers - Mie (aerosol), Rayleigh (molecules) - both use direct detection Wind profiles from surface to 27 km with resolution varying from 0.5 to 2 km - vertical bins configurable in flight - HLOS component only - direction 7º from zonal at equator - 6 hour coverage shown

  3. Data simulations for ADM-AeolusYield of good-quality data, at 5 and 1 km • 90% of molecular returns give wind accuracy better than 2 m/s • Complemented by good returns from cloud-tops/cirrus (5 to 10%) and aerosol returns at lower levels • ADM-Aeolus helps fill data gaps in tropics & over oceans ADM simulator developed by Stoffelen and Marseille (KNMI)

  4. ADM-Aeolus data impact DA ensemble experiments (Tan et al. 2007, QJ) • Impact = Spread(Ensemble-1) – Spread(Ensemble-2) • A reduction in spread (negative values) should indicate data benefits “ADM” (Control + simulated ADM) ADM impact “Control” (2004 observing system including TOVS & AIRS) ADM + Sondes Radiosonde impact “NoSondes” (TEMPs & PILOTs withheld)

  5. Control NoSondes ADM-Aeolus Data impact on ensemble analyses - zonal wind spread at 200 hPa • Radiosondes and wind profilers over N.Amer, Japan, Europe, Australia • DWL over oceans and tropics

  6. ADM-Aeolus p<0.0007 Pressure (hPa) NoSondes Zonal wind (m/s) Profiles of 12-hour FC impact, Tropics Spread in zonal wind (U, m/s) Scaling factor ~ 2 for wind error Tropics, N. & S. Hem all similar Simulated ADM adds value at all altitudes and in longer-range forecasts (T+48,T+96) and analyses Differences significant (T-test) Supported by information content diagnostics

  7. The ADM-Aeolus Mission Advisory Group (ESA)Preparatory studies on use and impact in NWP • DLR: During A-TReC in autumn 2003, the airborne DWL of DLR observed wind in sensitive regions. For the first time DWL data were assimilated in a global model at ECMWF. Positive impact reported. (QJ 2007) • Meteo-France: Impact of line shape on wind measurements and correction methods (T and p). (Tellus 2008) • ECMWF + partners: Development of the L2B/L2C wind retrieval algorithms and processing facility (Tellus 2008). Codes available. • KNMI: Wind observation requirements for the definition of an operational network of Doppler Wind Lidars (DWL) in the post-ADM era, using the new SOSE technique (Tellus 2008) • Munich Uni: The potential of ALADIN to measure the optical properties of aerosol and clouds investigated based on simulation studies • KNMI: Optimization of the ADM Spatial and Temporal Sampling Strategy • EUMETSAT: Doppler Wind Lidar Sampling Scenarios in the Tropics (MWR, 2008) • About ~15 responses to ESA’s call for CAL/VAL studies

  8. Tandem Aeolus Scenario + • Same dawn-dusk orbit and instrument, but phase difference 180 degrees (45 minutes) • Minimum of observation coverage redundancy; great heritage (low cost) • Twice as many LOS wind profiles as Aeolus 6-hours ofsampling Courtesy N. Žagar

  9. ADM-Aeolus, more than a demonstrator? • Aeolus is expected to provide unique data of great value to the meteorological community. • As a demonstration mission Aeolus is expected to deliver all data within 2 hrs and some within 30 min. • An additional ground station, specifically Troll, could reduce latency to 70 minutes for 10 out of 15 orbits per day • DWL data is recognized by EUMETSAT as a high priority for post-EPS • There is no present, funded, programme to provide wind profile data between the end of life of Aeolus and the post-EPS era • An affordable gap-filler option has been sketched by ESA, and been presented to the EUMETSAT STG. Has support from several NWP centres.

More Related